Member of Technical Staff jobs in United States
cer-icon
Apply on Employer Site
company-logo

Microsoft · 2 days ago

Member of Technical Staff

Microsoft is dedicated to advancing post-training methods for AI models. The Member of Technical Staff will develop large-scale models and improve training efficiency while managing the full pipeline from data ingestion to inference.

Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
check
Growth Opportunities
check
H1B Sponsor Likelynote

Responsibilities

Perform large-scale model training - Especially with LLMs, SLMs, multimodal, or code-specific models
Perform data curation and synthesis - Creating and refining datasets to optimize training outcomes
Hands-on coding- write efficient, production-quality code and debug complex training jobs
Work on both proprietary and open-source frameworks - Demonstrated proficiency in training pipelines and architecture
Full-stack modeling responsibility - From data ingestion and training to evaluation and inference management
Contribute to or build on existing innovations like technical report of the well-known models
Develop novel AI solutions that bridge language, vision, and code understanding
Help develop models powering tools like GitHub Copilot, Cursor, and VS Code suggestions
Embody our Culture and Values

Qualification

Large-scale model trainingData curationSynthesisPython codingML frameworks PyTorchML frameworks TritonTraining infrastructure designFoundation models experienceAgile mindsetCollaborative communicationSelf-driven

Required

Doctorate in relevant field AND 3+ years related research experience OR Master's Degree in relevant field AND 4+ years related research experience OR Bachelor's Degree in relevant field AND 6+ years related research experience OR equivalent experience
5+ years of coding experience in Python and experience with ML frameworks such as PyTorch and Triton
3+ years of experience in data curation and synthesis, creating and refining datasets to optimize training outcomes
3+ years of proven ability to design and scale training infrastructure and pipelines in production environments
3+ years of large-scale model training - especially with LLMs, SLMs, multimodal, or code-specific models
Prior research publication record with over 3000 citations
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role

Preferred

Doctorate in relevant field AND 6+ years related research experience OR Master's Degree in relevant field AND 7+ years related research experience OR Bachelor's Degree in relevant field AND 9+ years related research experience OR equivalent experience
Agile, solution-oriented, and able to operate with minimal overhead within a startup style mindset
Self-driven and organized with the ability to take ownership of projects and document findings clearly and effectively
Proven track record of impactful research - Preferably at leading research labs, with published work or real-world deployments
Extensive experience with foundation models, including large-scale training, model inference, reinforcement learning, reasoning models, vision-language integration, and audio-visual modeling
Hands-on experience with large-scale distributed training or serving, and systems of thinking
Experience working with large, complex datasets and developing data pipelines for LLM training
Demonstrated ability to collaborate within interdisciplinary teams and communicate complex, multimodal research concepts effectively

Company

Microsoft

company-logo
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.

H1B Sponsorship

Microsoft has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)

Funding

Current Stage
Public Company
Total Funding
$1M
Key Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M

Leadership Team

leader-logo
Satya Nadella
Chairman and CEO
linkedin
leader-logo
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
linkedin
Company data provided by crunchbase